AI and Machine learning for Trustworthy Autonomous Intelligent Machines and Systems

Oishi Deb (Ph.D. Student)

This project focuses on theoretical as well as applied research on trustworthy autonomous intelligent machines and systems to ensure better decision-making in safety-critical applications. It will address vulnerabilities and countermeasures of ML and AI algorithms that are being used in Autonomous Systems (AS). Uncertainty handling and error propagation will be considered as well as various scenarios/methods will also be under investigation.

Primary Host:	Michael A. Osborne (University of Oxford)
Exchange Host:	()
PhD Duration:	01 October 2022 - 30 September 2026
Exchange Duration:	01 June 2024 - 01 September 2024 01 June 2025 - 01 September 2025